Kinetica launches in-database analytics via user-defined functions
|Christian Hargrave in Analytics Wednesday, January 25, 2017|
Their in-database analytics make it possible for organizations to affordably converge Artificial Intelligence, Business Intelligence, Machine Learning, natural language processing, and other data analytics into one platform. It exposes advanced analytics to business users who understand the data resulting in better business value. By democratizing data science workloads, businesses get more efficient and effective business process outcomes, faster time to market, and net new business value.
Key features include:
- Execute and manage customizations for machine learning, AI and custom libraries.
- Leverage third party code by implementing orchestration hooks deployed via REST APIs to register/unregister.
- Call the endpoints via the exposed API and provide input table/output table.
- Use a true compute-to-grid fashion leveraging memory and GPUs without the need to move data. The output is stored in a Kinetica table for further analysis or analytics.
- Integrate user defined processes with a high speed IPC layer of every internal Kinetica data container.
- Use in native API bindings in C/C++ and Java, with Python support upcoming.
- Use arbitrary binaries to receive table data, do arbitrary computations, and save output to a global table in a distributed manner.
Additionally, Kinetica now includes Reveal for interactive real-time data discovery. With Reveal data exploration framework, business analysts can make speedy decisions by visualizing and interacting with billions of data elements instantly. Users do not need to know SQL and can simply drag and drop data tables to slice and dice data and start creating on-the-fly data analytics. Reveal has over a dozen analytical widgets to choose from for creating interactive real-time dashboards with just a few mouse clicks. It also features enhanced mapping capability and integrates with major mapping providers, including Google, ESRI, Mapbox, and Bing, to conduct interactive location-based analytics on massive datasets.
"In response to customer demand, we have combined the power of GPU-acceleration technology with UDFs, so customers can perform in-database advanced analytics and machine learning operations on massive datasets in real time, right alongside BI workloads," said Nima Negahban, CTO and co-founder, Kinetica. "This industry-first capability will enable customers to succeed and flourish in this new, exciting era of cognitive computing."
Love Is Like Pi Never Ending T-Shirt Math Pi day Gift Shirt. Perfect Shirt to celebrate Pi Day 2019. Great gift whether you just love Math or you are a Math Student, Teacher or similar.
Are you paying more taxes than you have to as a developer or freelancer? The IRS is certainly not going to tell you about a deduction you failed to take, and your accountant is not likely to take the time to ask you about every deduction you’re entitled to. As former IRS Commissioner Mark Everson admitted, “If you don’t claim it, you don’t get it.
Get hands-on experience in performing simple to complex mobile forensics techniques Retrieve and analyze data stored not only on mobile devices but also through the cloud and other connected mediums A practical guide to leveraging the power of mobile forensics on popular mobile platforms with lots of tips, tricks, and caveats.
The Chirp GPS app is a top-ranked location sharing app available for Apple and Android that is super easy to use, and most of all, it's reliable.
Write and run code every step of the way, using Android Studio to create apps that integrate with other apps, download and display pictures from the web, play sounds, and more. Each chapter and app has been designed and tested to provide the knowledge and experience you need to get started in Android development.